research-article

A Process Mining Method for Inter-organizational Business Process Integration

Authors:

Moufida Aouachria,

Abderrahmane Leshob,

Abdessamed Réda Ghomari,

Mustapha AouacheAuthors Info & Claims

ACM Transactions on Management Information Systems, Volume 15, Issue 1

Article No.: 2, Pages 1 - 29

https://doi.org/10.1145/3638062

Published: 12 March 2024 Publication History

Abstract

Business process integration (BPI) allows organizations to connect and automate their business processes in order to deliver the right economic resources at the right time, place, and price. BPI requires the integration of business processes and their supporting systems across multiple autonomous organizations. However, such integration is complex and can face coordination complexities that occur during the resource exchanges between the partners’ processes. This article proposes a new method called Process Mining for Business Process Integration (PM4BPI) that helps process designers to perform BPI by creating new process models that cross the boundaries of multiple organizations from a collection of process event logs. PM4BPI uses federated process mining techniques to detect incompatibilities before the integration of the partners’ processes. Then, it applies process adaptation patterns to solve detected incompatibilities. Finally, organizations’ processes are merged to build a collaborative process model that crosses the organizations’ boundaries. Adapt_{WF_Net}, an extension of a Petri net, is used to design inter-organizational business processes and adaptation patterns. An integrated care pathway is used as a case study to assess the applicability and effectiveness of the proposed method.

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Cited By

Chen C(2024)Organizational structure, business integration and technological innovation of manufacturing industry: Basis for digitally transformed manufacturing industry frameworkInternational Journal of Research Studies in Management10.5861/ijrsm.2024.107412:6Online publication date: 15-Jul-2024
https://doi.org/10.5861/ijrsm.2024.1074

Index Terms

A Process Mining Method for Inter-organizational Business Process Integration
1. Applied computing
  1. Enterprise computing

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Published In

cover image ACM Transactions on Management Information Systems

ACM Transactions on Management Information Systems Volume 15, Issue 1

March 2024

135 pages

EISSN:2158-6578

DOI:10.1145/3613505

Editor:
Daniel Zeng
Chinese Academy of Sciences, China

Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 March 2024

Online AM: 19 December 2023

Accepted: 08 December 2023

Revised: 06 December 2023

Received: 13 April 2023

Published in TMIS Volume 15, Issue 1

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Cited By

Chen C(2024)Organizational structure, business integration and technological innovation of manufacturing industry: Basis for digitally transformed manufacturing industry frameworkInternational Journal of Research Studies in Management10.5861/ijrsm.2024.107412:6Online publication date: 15-Jul-2024
https://doi.org/10.5861/ijrsm.2024.1074

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